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Sparse Feature Maps in a Scale Hierarchy

Per-Erik Forssén, Gösta Granlund
AFPAC00, Kiel, Germany
AFPAC, Algebraic Frames for the Perception Action Cycle
Pages 186-196
September 2000


This article describes an essential step towards what is called a view centered representation of the low-level structure in an image. Instead of representing low-level structure (lines and edges) in one compact feature map, we will separate structural information into several feature maps, each signifying features at a characteristic phase, in a specific scale. By characteristic phase we mean the phases 0, PI, and +-PI/2, corresponding to bright, and dark lines, and edges between different intensity levels, or colours. A lateral inhibition mechanism selects the strongest feature within each local region of scale represented. The scale representation is limited to maps one octave apart, but can be interpolated to provide a continuous representation. The resultant image representation is sparse, and thus well suited for further processing, such as pattern detection.

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Proceedings by Springer LNCS vol 1888

Bibtex entry

  author = 	 {Per-Erik Forss\'en and G\"osta Granlund},
  title = 	 {Sparse Feature Maps in a Scale Hierarchy},
  booktitle = 	 {AFPAC, Algebraic Frames for the Perception Action Cycle},
  year = 	 {2000},
  organization = {},
  publisher = {Springer Berlin / Heidelberg},
  isbn =         {978-3-540-41013-3},
  address = 	 {Kiel, Germany},
  month = 	 {September},
  note =         {{LNCS} 1888},
  pages = 	 {186-196},

Per-Erik Forssén

Per-Erik Forssén


Computer Vision Laboratory
Department of Electrical Engineering
Building B
Room 2D:521
SE-581 83 Linköping, Sweden
+46(0)13 285654

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